Method and System for Inferring Answers from Knowledge Graphs

2. The computer implemented method of claim 1, further comprising encoding, by the HRPE model, a second path in the knowledge graph to generate a third encoding, the second path connecting to a second possible answer to the query, wherein the first plurality of paths includes the second path.

3. The computer implemented method of claim 1, wherein the query is converted into a hypothesis in part by removing interrogatory-type words from the query.

6. The computer implemented method of claim 5, further comprising processing the concatenated vector through the feed forward network layer in order to determine whether the first vector follows the hypothesis or not.

7. The computer implemented method of claim 6, further comprising processing the output of the feed forward network layer through a SoftMax classifier in order to perform the classification.

9. The non-transitory computer-readable medium storing software of claim 8, wherein the instructions further cause the one or more computers to encode, by the HRPE model, a second path in the knowledge graph to generate a third encoding, the second path connecting to a second possible answer to the query, wherein the first plurality of paths includes the second path.

10. The non-transitory computer-readable medium storing software of claim 8, wherein the query is converted into a hypothesis in part by removing interrogatory-type words from the query.

13. The non-transitory computer-readable medium storing software of claim 12, wherein the instructions further cause the one or more computers to process the concatenated vector through the feed forward network layer in order to determine whether the first vector follows the hypothesis or not.

14. The non-transitory computer-readable medium storing software of claim 13, wherein the instructions further cause the one or more computers to process the output of the feed forward network layer through a SoftMax classifier in order to perform the classification.

16. The system of claim 15, wherein the instructions further cause the one or more computers to encode, by the HRPE model, a second path in the knowledge graph to generate a third encoding, the second path connecting to a second possible answer to the query, wherein the first plurality of paths includes the second path.

17. The system of claim 15, wherein the query is converted into a hypothesis in part by removing interrogatory-type words from the query.

20. The system of claim 19, wherein the instructions further cause the one or more computers to process the concatenated vector through the feed forward network layer in order to determine whether the first vector follows the hypothesis or not.